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    IJON
    2006
    146views more  IJON 2006»
    Feature selection and classification using flexible neural tree
    13 years 7 months ago
    Feature selection and classification using flexible neural tree
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    The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
    Yuehui Chen, Ajith Abraham, Bo Yang
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    JCP
    2008
    104views more  JCP 2008»
    Analysis and Improved Recognition of Protein Names Using Transductive SVM
    13 years 7 months ago
    Analysis and Improved Recognition of Protein Names Using Transductive SVM
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    We first analyzed protein names using various dictionaries and databases and found five problems with protein names; i.e., the treatment of special characters, the treatment of hom...
    Masaki Murata, Tomohiro Mitsumori, Kouichi Doi
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    IR
    2006
    155views Natural Language Processing» more  IR 2006»
    Table extraction for answer retrieval
    13 years 7 months ago
    Table extraction for answer retrieval
    Download  www.cs.umass.edu
    The ability to find tables and extract information from them is a necessary component of many information retrieval tasks. Documents often contain tables in order to communicate d...
    Xing Wei, W. Bruce Croft, Andrew McCallum
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    JMM2
    2006
    111views more  JMM2 2006»
    A Microscopic Telepathology System for Multiresolution Computer-Aided Diagnostics
    13 years 7 months ago
    A Microscopic Telepathology System for Multiresolution Computer-Aided Diagnostics
    Download  www.cs.technion.ac.il
    The aim of the presented system is simplification and speedup of the daily pathological examination routine. The system combines telepathology with computer-aided diagnostics algor...
    Grigory Begelman, Michael Pechuk, Ehud Rivlin, Edm...
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    FSS
    2007
    117views more  FSS 2007»
    Multiple regression with fuzzy data
    13 years 7 months ago
    Multiple regression with fuzzy data
    Download  www.nottingham.edu.my
    In this paper, we propose an iterative algorithm for multiple regression with fuzzy variables.While using the standard least-squares criterion as a performance index, we pose the ...
    Andrzej Bargiela, Witold Pedrycz, Tomoharu Nakashi...
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